Justin Grammens
Welcome, Applied AI Weekly Readers, to the latest issue! I'm thrilled to once again share with you the most interesting articles on artificial intelligence that I've found this past week.
Issue Highlights
This issue covers the rise of autonomous AI agents, China's DeepSeek AI expansion, and Google’s Gemini AI controversy over watermark removal. along with new tools for AI agent development and a video with Anthropic’s CEO as he discusses U.S. AI leadership
Before we go there and get into the details, here are a few things I wish to share.
Upcoming Events
- MN Entrepreneur Kickoff is coming up on Tuesday, March 25th. I hope you can join Applied AI as we explore AI and MN Entrepreneur Ecosystem!
- Our next Applied AI event is TRASH TALKING - Applying AI and IoT to the Refuse and Recycling Industry. We'll be talking about how Artificial Intelligence (AI) and the Internet of Things (IoT) can revolutionize refuse management and recycling in America.
- For the Spring 2025 Applied AI Conference, I'm thrilled to announce that will be partnering with MinneAnalytics.
- Finally, the next conference I'll be speaking at is the closing keynote at the Illinois Association of Home Care & Hospice. I'll be speaking on the new wave of agents that will transform the way home care hospice providers provide care.
A Bit of Thanks
- Thank you to everyone who came out and supported me and the panel at the Future of Healthcare Conference at the University of Saint Thomas. Here's some photos of our panel at the event with Minnesota healthcare leaders.
- I'm continuing to offer free consultations and workshops with many business leaders on how AI is changing the landscape of how you will run your business today and into the future. Connect today and book a meeting with me.
Now that we have that covered, please enjoy the articles I have spent time finding and curating for you this past week.
Finally, please do reach out if there is anything you feel I might have missed. Enjoy!
News

China Embeds DeepSeek AI in Everything From Cars to Police Work
DeepSeek’s reasoning model, R1, and large language model, V3, have achieved performance levels comparable to those of leading Western competitors but at a much lower cost, the company has said.
The rush to adopt DeepSeek by both the private and public sectors reflects a broader mindset in China that its next competitive edge in AI is in finding many practical uses, experts said.
Google Agrees With OpenAI That Copyright Has No Place in AI Development
In spite of sky-high costs and little in the way of profits, generative AI systems continue to proliferate. The Trump administration has called for a national AI Action Plan to guide America's burgeoning AI industry, and OpenAI was happy to use that as an opportunity to decry the negative effect of copyright enforcement on AI development.

People Are Using Google's New AI Model to Remove Watermarks From Images
Users on social media have discovered a controversial use case for Google’s new Gemini AI model: removing watermarks from images, including from images published by Getty Images and other well-known stock media outfits.
Sponsor

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Business

The Third Wave Of AI Is Here: Why Agentic AI Will Transform The Way We Work
The chess pieces of artificial intelligence are being dramatically rearranged. While previous iterations of AI focused on making predictions or generating content, we're now witnessing the emergence of something far more sophisticated: AI agents that can independently perform complex tasks and make decisions. This third wave of AI, known as 'agentic AI,' represents a fundamental shift in how we think about and interact with artificial intelligence in the workplace.
Alphabet to Buy Wiz for $32 Billion in Its Biggest Deal to Boost Cloud Security
The all-cash deal will bolster Google's cloud business with Wiz's AI-powered cybersecurity solutions that companies use to remove critical risks, helping it compete better in an industry benefiting from the rise of generative AI services like ChatGPT.
Enterprise

Agentic AI Architecture: A Deep Dive
Agentic AI architecture is a cutting-edge blueprint designed to create intelligent agents that mimic human cognitive abilities, enabling them to perform tasks autonomously, make informed decisions, and adapt to changing environments. Unlike traditional AI models that are rigid and task-specific, Agentic AI systems are designed to be more dynamic and flexible, capable of evolving and interacting with other AI components. These agents autonomously navigate complex real-world scenarios, using planning, memory, reflection, and action to achieve goal-directed behavior.
Consumer

I've Tested All the Best AI Agents Including ChatGPT Deep Research and Gemini
I’ve spent uncountable hours playing with AI assistants, seeing which ones are useful and in what way. Recently, that's meant looking at the kind of automated agents that can go out online and do things on your behalf. That might mean looking up information on the web, collating your email history, or even booking a reservation on your behalf. These AI agents include stand-alone tools and features within existing services.

Farewell Photoshop? Google’s New AI Lets You Edit Images by Asking
There's a new Google AI model in town, and it can generate or edit images as easily as it can create text—as part of its chatbot conversation. The results aren't perfect, but it's quite possible everyone in the near future will be able to manipulate images this way.
Video

The Future of U.S. AI Leadership with CEO of Anthropic Dario Amodei
Anthropic Chief Executive Officer and Cofounder Dario Amodei discusses the future of U.S. AI leadership, the role of innovation in an era of strategic competition, and the outlook for frontier model developme
Development

OpenAI Launches New Tools to Help Businesses Build AI Agents
On March 11th, OpenAI released new tools designed to help developers and enterprises build AI agents — automated systems that can independently accomplish tasks — using the company’s own AI models and frameworks.
Building an Agentic System
There's been a lot of asking about how Claude Code works under the hood. Usually, people see the prompts, but they don't see how it all comes together. This is that book. All of the systems, tools, and commands that go into building one of these.
A practical deep dive and code review into how to build a self-driving coding agent, execution engine, tools and commands. Rather than the prompts and AI engineering, this is the systems and design decisions that go into making agents that are real-time, self-corrective, and useful for productive work.